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Bridging the gap across program management, systems engineering, and plant modeling

机译：缩小计划管理，系统工程和工厂建模之间的差距

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摘要

Several technical and management disciplines are involved with complex system development and product life cycle management. Often they work in isolation leading to inconsistencies in product specifications, information, and challenges in decision-making. Differences across disciplines in their respective practices, techniques, tools, system metrics, and lack of a common platform for exchanging information have contributed to this gap. Attempts to bridge the gap between systems engineering and project management have been sought through project management methods and through imposing practices from one discipline onto another. It is proposed that a more rigorous approach to bridging this gap be investigated to better enable optimization of objectives, collaboration and cooperation amongst the multiple disciplines. The disciplines of interest in this study are plant modeling, systems engineering, and program management. In bridging the gap, both leveraging techniques and management tools from the different disciplines and adopting six sigma statistical methods are investigated. Common and unique system performance measurements are investigated in working toward a common language. Shared outcome-based measurements such as system and component operational capability levels, predicted and achieved, are also proposed. Options to bring together models from each discipline include multi-disciplinary system design optimization. The different management platforms and visualization techniques are explored with the goal to adopt a common platform to share information. The governance structure that would enable sharing of information across the disciplines forms part of this research.
机译：一些技术和管理学科涉及复杂的系统开发和产品生命周期管理。他们经常孤立地工作，导致产品规格，信息不一致以及决策方面的挑战。各个学科之间在各自的实践，技术，工具，系统指标方面的差异以及缺乏交换信息的通用平台，加剧了这一差距。人们试图通过项目管理方法以及将实践从一种学科引入另一种学科来弥合系统工程与项目管理之间的鸿沟。建议研究一种更严格的弥合这一差距的方法，以更好地实现目标的优化，多学科之间的协作与合作。本研究中感兴趣的学科是工厂建模，系统工程和程序管理。为了缩小差距，研究了利用来自不同学科的技术和管理工具并采用六种sigma统计方法。朝着通用语言的方向研究了通用和独特的系统性能度量。还提出了基于结果的共享度量，例如预测和实现的系统和组件操作能力级别。汇集各个学科的模型的选项包括多学科系统设计优化。探索了不同的管理平台和可视化技术，旨在采用一个通用平台来共享信息。能够跨学科共享信息的治理结构构成了本研究的一部分。

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